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Article

Integrated Decision-Making Approach Based on SWARA and GRA Methods for the Prioritization of Failures in Solar Panel Systems under Z-Information

1
Faculty of Industrial Engineering, Urmia University of Technology, Urmia 57166, Iran
2
Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment,Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
3
Faculty of Science, Urmia University of Technology, Urmia 57166, Iran
4
Department of Engineering, Sanmina Corporation, Carrollton, TX 75006, USA
*
Authors to whom correspondence should be addressed.
Symmetry 2020, 12(2), 310; https://doi.org/10.3390/sym12020310
Received: 21 January 2020 / Revised: 12 February 2020 / Accepted: 17 February 2020 / Published: 21 February 2020
(This article belongs to the Special Issue Uncertain Multi-Criteria Optimization Problems)
Encountering a problem or error in the final stages of providing products or services increases costs and delays scheduling. The key task is to ensure quality and reliability in the early stages of the production process and prevent errors from occurring from the beginning. Failure mode and effect analysis (FMEA) is one of the tools for identifying potential problems and their impact on products and services. The conventional FMEA technique has been criticized extensively due to its disadvantages. In this study, the concepts of uncertainty and reliability are considered simultaneously. The processes of weighting risk factors, prioritizing failures by using the stepwise weight assessment ratio analysis (SWARA)–gray relational analysis (GRA) integrated method based on Ζ-number theory and complete prioritization of failures are implemented. Crucial management indices, such as cost and time, are considered in addition to severity, occurrence and detection factors along with assigning symmetric form of the weights to them. This, in turn, increases the interpretability of results and reduces the decision-maker’s subjectivity in risk prioritization. The developed model is implemented on solar panel data with 19 failure modes determined by the FMEA team. Results show that the proposed approach provides a more complete and realistic prioritization of failures than conventional FMEA and fuzzy GRA methods do. View Full-Text
Keywords: failure mode and effects analysis; solar panel systems; step-wise weight assessment ratio analysis; grey relational analysis; Z-number theory failure mode and effects analysis; solar panel systems; step-wise weight assessment ratio analysis; grey relational analysis; Z-number theory
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MDPI and ACS Style

Jafarzadeh Ghoushchi, S.; Ab Rahman, M.N.; Raeisi, D.; Osgooei, E.; Jafarzadeh Ghoushji, M. Integrated Decision-Making Approach Based on SWARA and GRA Methods for the Prioritization of Failures in Solar Panel Systems under Z-Information. Symmetry 2020, 12, 310. https://doi.org/10.3390/sym12020310

AMA Style

Jafarzadeh Ghoushchi S, Ab Rahman MN, Raeisi D, Osgooei E, Jafarzadeh Ghoushji M. Integrated Decision-Making Approach Based on SWARA and GRA Methods for the Prioritization of Failures in Solar Panel Systems under Z-Information. Symmetry. 2020; 12(2):310. https://doi.org/10.3390/sym12020310

Chicago/Turabian Style

Jafarzadeh Ghoushchi, Saeid, Mohd N. Ab Rahman, Diba Raeisi, Elnaz Osgooei, and Majid Jafarzadeh Ghoushji. 2020. "Integrated Decision-Making Approach Based on SWARA and GRA Methods for the Prioritization of Failures in Solar Panel Systems under Z-Information" Symmetry 12, no. 2: 310. https://doi.org/10.3390/sym12020310

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